Prometheus – More Than Just a Metric Collector

The standard for metrics in Kubernetes and beyond.
We deploy Prometheus in a way that ensures long-term maintainability, scalability, and reliability.

Use Cases​

Prometheus is ideal for monitoring:

• Kubernetes workloads & nodes
• Virtual machines & legacy systems
• Databases & self-hosted services
• Applications with Prometheus-compatible exporters
• Custom services with user-defined metrics

Features We Operate & Maintain​

• Metric collection via pull (scraping) or Pushgateway
• Exporter setup for Node, PostgreSQL, Redis, Nginx, etc.
• Labeling & relabeling to structure large environments
• Recording rules for efficient data aggregation
• Retention policies for short- and long-term storage
• Remote write for long-term archiving with Thanos or Cortex

Part of Our Managed Monitoring​

Prometheus is part of our monitoring stack,
but can also be deployed in dedicated setups – for example:

• As a dedicated instance for customer teams
• Integrated into GitOps or infrastructure-as-code workflows
• With separate alerting rules for development or test systems

We also help you decide whether a centralized instance or service-specific Prometheus setups are more suitable.

Example Metrics​

Depending on your environment, we collect:

• CPU, memory & network utilization
• HTTP latency, error rates, request rates
• Backup status & durations
• Business metrics like logins, uploads, etc.

Integration in the Full Stack​

• Connected to Grafana for visualization
• Integrated with Alertmanager for routing & escalation
• Paired with Loki or Alloy for logging

You don’t have to operate Prometheus yourself – we handle planning, operations, maintenance, and scaling.

Discuss Your Prometheus Setup